At a Glance
- Tasks: Build and maintain cutting-edge Machine Learning platforms and infrastructure.
- Company: Join Monzo, a forward-thinking tech company with a collaborative spirit.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for growth.
- Other info: Be part of a dynamic team that thrives on innovation and problem-solving.
- Why this job: Make a real impact by enabling teams to deploy powerful Machine Learning solutions.
- Qualifications: Experience with AWS/GCP, Kubernetes, and backend software development.
The predicted salary is between 70000 - 90000 € per year.
Requirements
- You have experience working with AWS and/or GCP.
- You are a hands-on engineer with experience in building Machine Learning pipelines and the platforms that support them.
- You have experience working with Kubernetes.
- You’d be excited to build a platform that enables success for everyone at Monzo.
- You’re comfortable working in a team that deals with ambiguity.
- You’re naturally inclined to solve problems through automation.
- You have some experience with strongly typed languages, writing and working on backend software.
- You’re curious about systems and diving deep to investigate issues.
What the job involves
The Platform Collective builds and maintains the infrastructure, tools and processes that set the rest of Monzo technology teams up for success. We work on a wide range of shared infrastructure, services and engineer tooling.
The Machine Learning Platform team sits within the Platform Collective and is responsible for designing, building, and maintaining the infrastructure and tools which empower our teams to train, evaluate, deploy, and serve Machine Learning models and features at scale.
Our team is made up of backend engineers with experience in the ML space, using our experience and curiosity to work with the ML teams to identify their needs, and test and build magically simple solutions.
Senior Platform Engineer (Machine Learning) employer: Deepstreamtech
Monzo is an exceptional employer that fosters a collaborative and innovative work culture, particularly for the Senior Platform Engineer role. With a strong focus on employee growth and development, Monzo offers opportunities to work with cutting-edge technologies in a dynamic environment, empowering you to make a meaningful impact in the Machine Learning space. Located in a vibrant tech hub, the company provides unique advantages such as flexible working arrangements and a commitment to diversity and inclusion, making it an attractive place for talented engineers to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Platform Engineer (Machine Learning)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Monzo or similar companies. Use LinkedIn to connect and engage with them; you never know who might help you land that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Machine Learning projects and any platforms you've built. This is your chance to demonstrate your hands-on experience and problem-solving abilities.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of AWS, GCP, and Kubernetes. Practice coding challenges and system design questions to show you're ready to tackle the ambiguity of the role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of the StudySmarter team and the exciting work we do.
We think you need these skills to ace Senior Platform Engineer (Machine Learning)
Some tips for your application 🫡
Show Your Experience:Make sure to highlight your experience with AWS, GCP, and Kubernetes in your application. We want to see how you've built Machine Learning pipelines and the platforms that support them, so don’t hold back on those details!
Emphasise Teamwork:Since we’re all about collaboration, let us know how you’ve worked in teams dealing with ambiguity. Share examples of how you’ve tackled challenges together and contributed to a positive team environment.
Problem-Solving Skills:We love engineers who are naturally inclined to solve problems through automation. In your application, give us a glimpse into your thought process and any innovative solutions you've implemented in past projects.
Curiosity is Key:Show us your curiosity about systems! Dive deep into your experiences where you investigated issues and how that led to improvements. This will help us see your passion for learning and growing in the role.
How to prepare for a job interview at Deepstreamtech
✨Know Your Tech Stack
Make sure you brush up on your experience with AWS, GCP, and Kubernetes. Be ready to discuss specific projects where you've built Machine Learning pipelines and how you tackled challenges along the way. This will show that you're not just familiar with the tools, but that you can apply them effectively.
✨Show Your Problem-Solving Skills
Prepare examples of how you've solved complex problems through automation. Think about situations where you had to deal with ambiguity and how you navigated those challenges. This will demonstrate your ability to think critically and adapt in a fast-paced environment.
✨Dive Deep into Systems
Be curious! Research the systems and technologies used at Monzo, especially in the Machine Learning space. During the interview, ask insightful questions that show your interest in understanding their infrastructure and how you can contribute to improving it.
✨Teamwork Makes the Dream Work
Since you'll be working closely with other teams, highlight your collaborative experiences. Share stories about how you've worked with cross-functional teams to identify needs and deliver solutions. This will showcase your ability to communicate and work well with others, which is key for success at Monzo.
